Related Experiment Video
Updated: Mar 7, 2026

07:30
A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact
Published on: September 21, 2017
9.4K
Comparing ICD-10 external cause codes for pedal cyclists with self-reported crash details
Ben Beck1, Christina L Ekegren1, Peter Cameron1,2
1Department of Epidemiology and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
Summary
The International Classification of Diseases (ICD-10) codes show substantial agreement (77.3%) with cyclist-reported crash details. However, a 23% disagreement highlights potential limitations for injury prevention research.
Area of Science:
- Public Health
- Epidemiology
- Trauma Research
Background:
- Accurate injury event coding is vital for effective injury prevention strategies.
- The validity of the International Classification of Diseases (ICD-10) for characterizing pedal cycling crash counterparts is not well understood.
Purpose of the Study:
- To assess the agreement between hospital-coded ICD-10-AM external cause codes and self-reported crash characteristics in injured cyclists.
- To evaluate the reliability of ICD-10-AM codes for capturing details of bicycle crashes.
Main Methods:
- A sample of 141 injured cyclists admitted to hospital following bicycle crashes was studied.
- Cyclists' self-reported crash details were mapped to ICD-10-AM external cause codes.
- These mapped codes were compared against the ICD-10-AM codes from hospital administrative data.
Main Results:
- The study found a 77.3% percentage of agreement between self-reported data and hospital-coded ICD-10-AM external cause codes.
- A κ value of 0.68 (95% CI 0.61 to 0.77) indicated substantial agreement.
- A notable 23% level of disagreement was observed.
Conclusions:
- While ICD-10-AM codes demonstrate substantial agreement in characterizing cycling crash counterparts, the 23% disagreement warrants consideration.
- Researchers utilizing administrative ICD-10 data for cycling injury analysis should be aware of this discrepancy to avoid potential biases in prevention strategy development.

